System, method, and recording medium for detecting and leveraging brain waves present in a user&#39;s state of flow to control digital and physical notifications

ABSTRACT

A notification control method, system, and non-transitory computer readable medium, include a state of flow detecting circuit configured to detect a state of flow of a user from brain waves of the user from user data and a notification control circuit configured to cause a physical notification to be displayed based on the detected state of flow of the user.

CROSS-REFERENCE TO RELATED APPLICATIONS

The present application is a Continuation Application of U.S. patentapplication Ser. No. 15/584,399, filed on May 2, 2017, which is aContinuation Application of U.S. patent application Ser. No. 15/191,681,now U.S. Pat. No. 9,743,381, issued on Aug. 22, 2017, the entirecontents of which are hereby incorporated by reference.

BACKGROUND

The present invention relates generally to a notification controlsystem, and more particularly, but not by way of limitation, to a systemfor leveraging the detection of brain waves present in state of flow(e.g., alpha and theta), to support a user's high creative concentrationstate. The detection can then utilized to manage, for example, allincoming notifications to the user across multi-device so that state offlow is not interrupted, and via Internet of Things (IoT) enableddevices, part of the physical environment of the person in state of flowmay change (e.g., a light on the back their chair, a sign outside oftheir office door, etc.) can light up, with the aim to reduceinterruptions and as such supporting the state of flow.

Since the introduction of mobile phones and the advances in computers,social media, games, and demands from work, a person's attention isscattered by receiving multiple alerts, and notifications that interruptthe user's concentration at any given time. Supporting the state of flowif beneficial for creativity, autonomy, productivity, and contributes tothe users satisfaction.

Conventionally, notifications are delivered to the user based on staticuser settings such as instantly via an alert, a sound, a vibration, etcor in bulk at a specifically set time and interval. Conventionaltechniques to limit interruptions consider activity by the user that isdetectable by the system such as an incoming phone call or interruptingother computer speech.

That is, there is a technical problem in the conventional techniques inthat the conventional techniques do not consider controllingnotifications, or the IoT enabled environment based on the user enteringa particular state of flow according to monitoring the user's brainwaves such that the notification (e.g., digital or physical) isdelivered to the user causing the user to exit a particular state offlow.

SUMMARY

In view of the technical problem in the art, the inventors haveconsidered the technical solution to the technical problem in which thesystem can detect when a user enters a particular state of flow, andcontrols the notifications received on the user's device so thatunnecessary notifications are not delivered to cause the user to exitthe particular state of flow. That is, the inventors have realized thatthe detection of brain waves can be used to manage incomingnotifications to the user across multi-devices so that a state of flowis not interrupted, and, via IoT enabled devices, part of the physicalenvironment of the person in state of flow may change (e.g., a light onthe back their chair, a sign outside of their office door, etc.) canlight up, with the aim to reduce interruptions and as such supportingthe state of flow.

In an exemplary embodiment, the present invention can provide anotification control system, including a state of flow detecting circuitconfigured to detect a state of flow of brain waves of a user from userdata, a notification priority setting circuit configured to set anotification priority setting by ranking a type of a notification to bedelivered to a user device according to an importance of a messageassociated with the notification, and a notification control circuitconfigured to control the notification to be output on the user deviceat an allowable time based on a rank of the notification prioritysetting being higher than a rank of the state of flow of the user.

Further, in another exemplary embodiment, the present invention canprovide a notification control method, including detecting a state offlow of brain waves of a user from user data, setting a notificationpriority setting by ranking a type of a notification to be delivered toa user device according to an importance of a message associated withthe notification, and controlling the notification to be output on theuser device at an allowable time based on a rank of the notificationpriority setting being higher than a rank of the state of flow of theuser.

Even further, in another exemplary embodiment, the present invention canprovide a non-transitory computer-readable recording medium recording anotification control program, the program causing a computer to perform:detecting a state of flow of brain waves of a user from user data,setting a notification priority setting by ranking a type of anotification to be delivered to a user device according to an importanceof a message associated with the notification, and controlling thenotification to be output on the user device at an allowable time basedon a rank of the notification priority setting being higher than a rankof the state of flow of the user.

There has thus been outlined, rather broadly, an embodiment of theinvention in order that the detailed description thereof herein may bebetter understood, and in order that the present contribution to the artmay be better appreciated. There are, of course, additional exemplaryembodiments of the invention that will be described below and which willform the subject matter of the claims appended hereto.

It is to be understood that the invention is not limited in itsapplication to the details of construction and to the arrangements ofthe components set forth in the following description or illustrated inthe drawings. The invention is capable of embodiments in addition tothose described and of being practiced and carried out in various ways.Also, it is to be understood that the phraseology and terminologyemployed herein, as well as the abstract, are for the purpose ofdescription and should not be regarded as limiting.

As such, those skilled in the art will appreciate that the conceptionupon which this disclosure is based may readily be utilized as a basisfor the designing of other structures, methods and systems for carryingout the several purposes of the present invention. It is important,therefore, that the claims be regarded as including such equivalentconstructions insofar as they do not depart from the spirit and scope ofthe present invention.

BRIEF DESCRIPTION OF THE DRAWINGS

The exemplary aspects of the invention will be better understood fromthe following detailed description of the exemplary embodiments of theinvention with reference to the drawings.

FIG. 1 exemplarily shows a block diagram illustrating a configuration ofa notification control system 100.

FIG. 2 exemplarily shows a high level flow chart for a notificationcontrol method 200.

FIG. 3 depicts a cloud computing node 10 according to an exemplaryembodiment of the present invention.

FIG. 4 depicts a cloud computing environment 50 according to anotherexemplary embodiment of the present invention.

FIG. 5 depicts abstraction model layers according to an exemplaryembodiment of the present invention.

DETAILED DESCRIPTION OF THE EXEMPLARY EMBODIMENTS

The invention will now be described with reference to FIGS. 1-5, inwhich like reference numerals refer to like parts throughout. It isemphasized that, according to common practice, the various features ofthe drawing are not necessarily to scale. On the contrary, thedimensions of the various features can be arbitrarily expanded orreduced for clarity. Exemplary embodiments are provided below forillustration purposes and do not limit the claims.

With reference now to FIG. 1, the notification control system 100includes a state of flow detecting circuit 101, a notification prioritysetting circuit 102, and a notification control circuit 103. Thenotification control system 100 includes a processor 180 and a memory190, with the memory 190 storing instructions to cause the processor 180to execute each circuit of notification control system 100. Theprocessor and memory may be physical hardware components, or acombination of hardware and software components.

Although the notification control system 100 includes various circuits,it should be noted that a notification control system can includemodules in which the memory 190 stores instructions to cause theprocessor 180 to execute each module of notification control system 100.

Also, each circuit can be a stand-alone device, unit, module, etc. thatcan be interconnected to cooperatively produce a transformation to aresult.

With the use of these various circuits, the notification control system100 may act in a more sophisticated and useful fashion, and in acognitive manner while giving the impression of mental abilities andprocesses related to knowledge, attention, memory, judgment andevaluation, reasoning, and advanced computation. That is, a system issaid to be “cognitive” if it possesses macro-scaleproperties—perception, goal-oriented behavior, learning/memory andaction—that characterize systems (i.e., humans) that all agree arecognitive.

Cognitive states are defined as functions of measures of a user's totalbehavior collected over some period of time from at least one personalinformation collector (e.g., including musculoskeletal gestures, speechgestures, eye movements, internal physiological changes, measured byimaging circuits, microphones, physiological and kinematic sensors in ahigh dimensional measurement space, etc.) within a lower dimensionalfeature space. In one exemplary embodiment, certain feature extractiontechniques are used for identifying certain cognitive and emotionaltraits. Specifically, the reduction of a set of behavioral measures oversome period of time to a set of feature nodes and vectors, correspondingto the behavioral measures' representations in the lower dimensionalfeature space, is used to identify the emergence of a certain cognitivestate(s) over that period of time. One or more exemplary embodiments usecertain feature extraction techniques for identifying certain cognitivestates. The relationship of one feature node to other similar nodesthrough edges in a graph corresponds to the temporal order oftransitions from one set of measures and the feature nodes and vectorsto another. Some connected subgraphs of the feature nodes are hereinalso defined as a “cognitive state”. The present application alsodescribes the analysis, categorization, and identification of thesecognitive states further feature analysis of subgraphs, includingdimensionality reduction of the subgraphs, for example graphicalanalysis, which extracts topological features and categorizes theresultant subgraph and its associated feature nodes and edges within asubgraph feature space.

Although as shown in FIGS. 3-5 and as described later, the computersystem/server 12 is exemplarily shown in cloud computing node 10 as ageneral-purpose computing circuit which may execute in a layer thenotification control system 100 (FIG. 5), it is noted that the presentinvention can be implemented outside of the cloud environment.

The state of flow detecting circuit 101 detects a current state of flowof the user based on user data 120. The user data 120 is based on fivedifferent types of electrical patterns or “brain waves” across thecortex in order of highest frequency to lowest (i.e., gamma, beta,alpha, theta, and delta). The brain waves can be collected (e.g.,monitored) by the state of flow detecting circuit 101 with anelectroencephalograph (EEG) or the like that can be obtained from userdata 120 input into the system 100 from, for example, wearables,sensors, or the like. That is, the state of flow detecting circuit 101receives brain wave data from the user data 120 from any device orsystem capable of monitoring brain waves of the user and detects thestate of flow of the user.

Preferably, the state of flow detecting circuit 101 detects when theuser has an alpha state of flow or a theta state of flow. The alphastate of flow indicates that the user is about to enter the theta stateof flow. The theta state of flow is optimal for creativity, emotionalconnection, intuition, and relaxation such that the notification controlcircuit 103 does not interrupt the user to cause the user to exit thepreferable state of flow as described later. However, the state of flowdetecting circuit 101 detects the current state of flow of the user andthe notification priority setting circuit 102 and the notificationcontrol circuit 103 can be configured to deliver the notification basedon a type of detected state of flow.

The notification priority setting circuit 102 sets a notificationpriority for when the state of flow can be interrupted by thenotification control circuit 103 by setting the notification priorityfor a type of notification to be sent by the user device 130. That is,the notification priority setting circuit 102 ranks the type ofnotification to have a higher priority (or lower priority) than thecurrent state of flow (e.g., alpha state of flow or theta state of flow)such that the notification control circuit 103 can determine whether todeliver the notification or not.

The notification priority setting circuit 102 ranks any incomingnotifications and distractions to the user device 130 and based on, forexample, the strength of the relationship of the sender and user, etc.and an importance of the message, the notification priority settingcircuit 102 sets the priority setting of the notification. Thereby,urgent notifications can immediately be delivered (e.g., ranked higher)to the user and less important notifications (e.g., ranked lower) arenot delivered until later, at an approximate time, such that the usercan maintain the state of flow.

The notification priority setting circuit 102 can set the prioritysetting of the notification based on Natural Language Processing (NPL)of the message associated with the notification. For example, if“urgent”words or a time are associated with the message such as “emergency”,“very urgent”, “immediate response”, “five minutes from now”, etc., thenotification priority setting circuit 102 can rank these types ofmessages as more important than a theta state of flow such that thenotification is immediately delivered to the user.

The notification priority setting circuit 102 can also rank the activityof the user while in the state of flow such that the notification isweighed against the current activity of the user. For example, if theuser is in a theta state of flow while casually reading articles forentertainment, the user activity is ranked lower and the prioritysetting of the notifications can interrupt the theta state of flow.Alternatively, if the user is working on an important project havinghigh implications, the same notification is set to have a prioritysetting ranked lower than the activity of the user because theimportance of the activity of the user is increased. Thus, thenotification priority setting circuit 102 considers a task at hand,device interactions, what program is being used, what is the context ofthe user to rank the notification and set the priority of thenotification, etc.

The user also can set a desired “conditional interruption” preference byinputting to the notification priority setting circuit 102 how and when,if ever, the user would like to be interrupted by a notification.Conditional interruption preferences can include, for example, a type ofnotification to always deliver, an activity to always (or never)interrupt, a timing of a notification (i.e., always deliver thenotification if the message relates to an event within a threshold timeof the notification), or identity or relationship of the sender, etc.

Further, the notification priority setting circuit 102 can “learn” fromfeedback of user data 120 such that the notification priority settingcircuit 102 can customize the priority setting(s) for different users.For example, if the notification priority setting circuit 102 sets amessage from a spouse as ranking higher than a theta state of flow butthe user never checks the user device 130 (i.e., reads the messageassociated with the notification) when the user is interrupted and exitsthe theta state of flow, the notification priority setting circuit 102can learn from this user feedback and update the priority setting ofmessages from the spouse to be ranked less than the theta state of flow.

The notification control circuit 103 receives the notification prioritysetting(s) from the notification priority setting circuit 102 anddetermines an allowable time to cause the user device 130 to output thenotification based on the notification priority settings and the stateof flow of the user.

For example, the notification control circuit 103 can determine aninstantaneous generation of the notification such that the user device130 immediately delivers the notification if the notification prioritysetting is “higher” than the current state of flow or the user inputthat the particular notification should always be delivered.

Further, the notification control circuit 103 can determine not to sendthe notification and instead wait for the users' state of flow oractivity to be ranked less than the priority setting of the notification(i.e., user exits the state of flow by themselves) as detected/predictedby the state of flow detecting circuit 101.

Moreover, the notification control circuit 103 can cause the user device130 to output the notification according to a periodic schedule in whichthe notification control circuit 103 interrupts the user regardless ofthe state of flow of the user at the predetermined time (e.g., once anhour, once a day, etc.). Thus, when the time in the periodic scheduleoccurs to deliver the notifications, the notification control circuit103 causes the user device 130 to deliver all notifications regardlessof the state of flow of the user.

Further, the notification control circuit 103 can cause a message to besent from the user device 130 to other users in a network instructingthe other users not to send any messages to the user when the userenters a particular state of flow.

Also, the notification control circuit 103 can cause a physical displayalert on an Internet of Things (IoT) enabled device such as on the chairof the user (e.g., a light, sign, etc.), the door to lock people out sothat they cannot enter the room such that people passing by do not askthe user questions (e.g., do not interrupt the user). Thus, thenotification control circuit 103 can control the user from beinginterrupted by messages not only on an electronic medium but also in aphysical environment. Internet of Things (IoT) enabled devices include,for example, a chair with a sensor, the sensor is connected to a networkwirelessly to detect when the user gets a like on Facebook®. The sensorthen vibrates, changes color, etc.

Therefore, the notification control circuit 103 controls how technology(e.g., via notifications or interruptions of a state of flow) interactswith the user as well as controls how the user interacts withtechnology.

That is, the notification control system 100 contributes to positivetechnology because entering a state of flow is not predictable at times,thereby automatically detecting the state of flow (e.g., via the stateof flow detecting circuit) and adjusting technology to support theinterruption of the user protects and supports tightened concentrationand creativity which align with fulfilling core human needs such asautonomy and competence.

FIG. 2 shows a high level flow chart for a method 200 of notificationcontrol.

Step 201 detects a state of flow of the user based on anelectroencephalograph (EEG) or the like that can be obtained from userdata 120.

Step 202 sets a notification priority setting by ranking any incomingnotifications and distractions to the user device 130 and based on, forexample, the strength of the relationship and an importance of themessage, Step 202 sets the priority setting of the notification.

Step 203 controls the notifications to be output on the user device 130at an allowable time based on the notification priority settings and thestate of flow of the user.

Exemplary Hardware Aspects, Using a Cloud Computing Environment

It is understood in advance that although this disclosure includes adetailed description on cloud computing, implementation of the teachingsrecited herein are not limited to a cloud computing environment. Rather,embodiments of the present invention are capable of being implemented inconjunction with any other type of computing environment now known orlater developed.

Cloud computing is a model of service delivery for enabling convenient,on-demand network access to a shared pool of configurable computingresources (e.g. networks, network bandwidth, servers, processing,memory, storage, applications, virtual machines, and services) that canbe rapidly provisioned and released with minimal management effort orinteraction with a provider of the service. This cloud model may includeat least five characteristics, at least three service models, and atleast four deployment models.

Characteristics are as follows:

On-demand self-service: a cloud consumer can unilaterally provisioncomputing capabilities, such as server time and network storage, asneeded automatically without requiring human interaction with theservice's provider.

Broad network access: capabilities are available over a network andaccessed through standard mechanisms that promote use by heterogeneousthin or thick client platforms (e.g., mobile phones, laptops, and PDAs).

Resource pooling: the provider's computing resources are pooled to servemultiple consumers using a multi-tenant model, with different physicaland virtual resources dynamically assigned and reassigned according todemand. There is a sense of location independence in that the consumergenerally has no control or knowledge over the exact location of theprovided resources but may be able to specify location at a higher levelof abstraction (e.g., country, state, or datacenter).

Rapid elasticity: capabilities can be rapidly and elasticallyprovisioned, in some cases automatically, to quickly scale out andrapidly released to quickly scale in. To the consumer, the capabilitiesavailable for provisioning often appear to be unlimited and can bepurchased in any quantity at any time.

Measured service: cloud systems automatically control and optimizeresource use by leveraging a metering capability at some level ofabstraction appropriate to the type of service (e.g., storage,processing, bandwidth, and active user accounts). Resource usage can bemonitored, controlled, and reported providing transparency for both theprovider and consumer of the utilized service.

Service Models are as follows:

Software as a Service (SaaS): the capability provided to the consumer isto use the provider's applications running on a cloud infrastructure.The applications are accessible from various client circuits through athin client interface such as a web browser (e.g., web-based e-mail).The consumer does not manage or control the underlying cloudinfrastructure including network, servers, operating systems, storage,or even individual application capabilities, with the possible exceptionof limited user-specific application configuration settings.

Platform as a Service (PaaS): the capability provided to the consumer isto deploy onto the cloud infrastructure consumer-created or acquiredapplications created using programming languages and tools supported bythe provider. The consumer does not manage or control the underlyingcloud infrastructure including networks, servers, operating systems, orstorage, but has control over the deployed applications and possiblyapplication hosting environment configurations.

Infrastructure as a Service (IaaS): the capability provided to theconsumer is to provision processing, storage, networks, and otherfundamental computing resources where the consumer is able to deploy andrun arbitrary software, which can include operating systems andapplications. The consumer does not manage or control the underlyingcloud infrastructure but has control over operating systems, storage,deployed applications, and possibly limited control of select networkingcomponents (e.g., host firewalls).

Deployment Models are as follows:

Private cloud: the cloud infrastructure is operated solely for anorganization. It may be managed by the organization or a third party andmay exist on-premises or off-premises.

Community cloud: the cloud infrastructure is shared by severalorganizations and supports a specific community that has shared concerns(e.g., mission, security requirements, policy, and complianceconsiderations). It may be managed by the organizations or a third partyand may exist on-premises or off-premises.

Public cloud: the cloud infrastructure is made available to the generalpublic or a large industry group and is owned by an organization sellingcloud services.

Hybrid cloud: the cloud infrastructure is a composition of two or moreclouds (private, community, or public) that remain unique entities butare bound together by standardized or proprietary technology thatenables data and application portability (e.g., cloud bursting forload-balancing between clouds).

A cloud computing environment is service oriented with a focus onstatelessness, low coupling, modularity, and semantic interoperability.At the heart of cloud computing is an infrastructure comprising anetwork of interconnected nodes.

Referring now to FIG. 3, a schematic of an example of a cloud computingnode is shown. Cloud computing node 10 is only one example of a suitablecloud computing node and is not intended to suggest any limitation as tothe scope of use or functionality of embodiments of the inventiondescribed herein. Regardless, cloud computing node 10 is capable ofbeing implemented and/or performing any of the functionality set forthhereinabove.

In cloud computing node 10, there is a computer system/server 12, whichis operational with numerous other general purpose or special purposecomputing system environments or configurations. Examples of well-knowncomputing systems, environments, and/or configurations that may besuitable for use with computer system/server 12 include, but are notlimited to, personal computer systems, server computer systems, thinclients, thick clients, hand-held or laptop circuits, multiprocessorsystems, microprocessor-based systems, set top boxes, programmableconsumer electronics, network PCs, minicomputer systems, mainframecomputer systems, and distributed cloud computing environments thatinclude any of the above systems or circuits, and the like.

Computer system/server 12 may be described in the general context ofcomputer system-executable instructions, such as program modules, beingexecuted by a computer system. Generally, program modules may includeroutines, programs, objects, components, logic, data structures, and soon that perform particular tasks or implement particular abstract datatypes. Computer system/server 12 may be practiced in distributed cloudcomputing environments where tasks are performed by remote processingcircuits that are linked through a communications network. In adistributed cloud computing environment, program modules may be locatedin both local and remote computer system storage media including memorystorage circuits.

As shown in FIG. 3, computer system/server 12 in cloud computing node 10is shown in the form of a general-purpose computing circuit. Thecomponents of computer system/server 12 may include, but are not limitedto, one or more processors or processing units 16, a system memory 28,and a bus 18 that couples various system components including systemmemory 28 to processor 16.

Bus 18 represents one or more of any of several types of bus structures,including a memory bus or memory controller, a peripheral bus, anaccelerated graphics port, and a processor or local bus using any of avariety of bus architectures. By way of example, and not limitation,such architectures include Industry Standard Architecture (ISA) bus,Micro Channel Architecture (MCA) bus, Enhanced ISA (EISA) bus, VideoElectronics Standards Association (VESA) local bus, and PeripheralComponent Interconnects (PCI) bus.

Computer system/server 12 typically includes a variety of computersystem readable media. Such media may be any available media that isaccessible by computer system/server 12, and it includes both volatileand non-volatile media, removable and non-removable media.

System memory 28 can include computer system readable media in the formof volatile memory, such as random access memory (RAM) 30 and/or cachememory 32. Computer system/server 12 may further include otherremovable/non-removable, volatile/non-volatile computer system storagemedia. By way of example only, storage system 34 can be provided forreading from and writing to a non-removable, non-volatile magnetic media(not shown and typically called a “hard drive”). Although not shown, amagnetic disk drive for reading from and writing to a removable,non-volatile magnetic disk (e.g., a “floppy disk”), and an optical diskdrive for reading from or writing to a removable, non-volatile opticaldisk such as a CD-ROM, DVD-ROM or other optical media can be provided.In such instances, each can be connected to bus 18 by one or more datamedia interfaces. As will be further depicted and described below,memory 28 may include at least one program product having a set (e.g.,at least one) of program modules that are configured to carry out thefunctions of embodiments of the invention.

Program/utility 40, having a set (at least one) of program modules 42,may be stored in memory 28 by way of example, and not limitation, aswell as an operating system, one or more application programs, otherprogram modules, and program data. Each of the operating system, one ormore application programs, other program modules, and program data orsome combination thereof, may include an implementation of a networkingenvironment. Program modules 42 generally carry out the functions and/ormethodologies of embodiments of the invention as described herein.

Computer system/server 12 may also communicate with one or more externalcircuits 14 such as a keyboard, a pointing circuit, a display 24, etc.;one or more circuits that enable a user to interact with computersystem/server 12; and/or any circuits (e.g., network card, modem, etc.)that enable computer system/server 12 to communicate with one or moreother computing circuits. Such communication can occur via Input/Output(I/O) interfaces 22. Still yet, computer system/server 12 cancommunicate with one or more networks such as a local area network(LAN), a general wide area network (WAN), and/or a public network (e.g.,the Internet) via network adapter 20. As depicted, network adapter 20communicates with the other components of computer system/server 12 viabus 18. It should be understood that although not shown, other hardwareand/or software components could be used in conjunction with computersystem/server 12. Examples, include, but are not limited to: microcode,circuit drivers, redundant processing units, external disk drive arrays,RAID systems, tape drives, and data archival storage systems, etc.

Referring now to FIG. 4, illustrative cloud computing environment 50 isdepicted. As shown, cloud computing environment 50 comprises one or morecloud computing nodes 10 with which local computing circuits used bycloud consumers, such as, for example, personal digital assistant (PDA)or cellular telephone 54A, desktop computer 54B, laptop computer 54C,and/or automobile computer system 54N may communicate. Nodes 10 maycommunicate with one another. They may be grouped (not shown) physicallyor virtually, in one or more networks, such as Private, Community,Public, or Hybrid clouds as described hereinabove, or a combinationthereof. This allows cloud computing environment 50 to offerinfrastructure, platforms and/or software as services for which a cloudconsumer does not need to maintain resources on a local computingcircuit. It is understood that the types of computing circuits 54A-Nshown in FIG. 5 are intended to be illustrative only and that computingnodes 10 and cloud computing environment 50 can communicate with anytype of computerized circuit over any type of network and/or networkaddressable connection (e.g., using a web browser).

Referring now to FIG. 5, a set of functional abstraction layers providedby cloud computing environment 50 (FIG. 4) is shown. It should beunderstood in advance that the components, layers, and functions shownin FIG. 5 are intended to be illustrative only and embodiments of theinvention are not limited thereto. As depicted, the following layers andcorresponding functions are provided:

Hardware and software layer 60 includes hardware and softwarecomponents. Examples of hardware components include: mainframes 61; RISC(Reduced Instruction Set Computer) architecture based servers 62;servers 63; blade servers 64; storage circuits 65; and networks andnetworking components 66. In some embodiments, software componentsinclude network application server software 67 and database software 68.

Virtualization layer 70 provides an abstraction layer from which thefollowing examples of virtual entities may be provided: virtual servers71; virtual storage 72; virtual networks 73, including virtual privatenetworks; virtual applications and operating systems 74; and virtualclients 75.

In one example, management layer 80 may provide the functions describedbelow. Resource provisioning 81 provides dynamic procurement ofcomputing resources and other resources that are utilized to performtasks within the cloud computing environment. Metering and Pricing 82provide cost tracking as resources are utilized within the cloudcomputing environment, and billing or invoicing for consumption of theseresources. In one example, these resources may comprise applicationsoftware licenses. Security provides identity verification for cloudconsumers and tasks, as well as protection for data and other resources.User portal 83 provides access to the cloud computing environment forconsumers and system administrators. Service level management 84provides cloud computing resource allocation and management such thatrequired service levels are met. Service Level Agreement (SLA) planningand fulfillment 85 provide pre-arrangement for, and procurement of,cloud computing resources for which a future requirement is anticipatedin accordance with an SLA.

Workloads layer 90 provides examples of functionality for which thecloud computing environment may be utilized. Examples of workloads andfunctions which may be provided from this layer include: mapping andnavigation 91; software development and lifecycle management 92; virtualclassroom education delivery 93; data analytics processing 94;transaction processing 95; and, more particularly relative to thepresent invention, the notification control system 100 described herein.

The descriptions of the various embodiments of the present inventionhave been presented for purposes of illustration, but are not intendedto be exhaustive or limited to the embodiments disclosed. Manymodifications and variations will be apparent to those of ordinary skillin the art without departing from the scope and spirit of the describedembodiments. The terminology used herein was chosen to best explain theprinciples of the embodiments, the practical application or technicalimprovement over technologies found in the marketplace, or to enableothers of ordinary skill in the art to understand the embodimentsdisclosed herein.

Further, Applicant's intent is to encompass the equivalents of all claimelements, and no amendment to any claim of the present applicationshould be construed as a disclaimer of any interest in or right to anequivalent of any element or feature of the amended claim.

What is claimed is:
 1. A notification control system including agraphical display unit connected to an Internet of Things (IoT) device,the System comprising: a processor; and a memory, the memory storinginstructions to cause the processor to perform: detecting a state offlow of a user from brain waves of the user from user data; andcontrolling a notification by causing, via an Internet of Things (IoT)device, the notification to be displayed on the graphical display unit,wherein the notification is displayed for a second user viewing thegraphical display unit based on the detected state of flow of the user.2. A notification control method including a graphical display unitconnected to an Internet of Things (IoT) device, the method comprising:detecting a state of flow of the user from brain waves of a user fromuser data; and controlling a notification by causing, via an Internet ofThings (IoT) device, the notification to be displayed on the graphicaldisplay unit, wherein the notification is displayed for a second userviewing the graphical display unit based on the detected state of flowof the user.
 3. The method of claim 2, wherein the notificationcomprises a digital notification sent to the second user.
 4. The methodof claim 2, wherein the notification comprises a physical notificationdisplayed in proximity to the user.
 5. The method of claim 2, whereinthe IoT device is positioned to only notify the second user and not theuser.
 6. A non-transitory computer-readable recording medium recording anotification control program that interfaces with a graphical displayunit connected to an Internet of Thins (IoT) device, the program causinga computer to perform: detecting a state of flow of the user from brainwaves of a user from user data; and controlling a notification bycausing, via an Internet of Things (IoT) device, the notification to bedisplayed on the graphical display unit, wherein the notification isdisplayed for a second user viewing the graphical display unit based onthe detected state of flow of the user.